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基于最优FRWT的非平稳信号去噪新方法
引用本文:黄雨青,王友仁,罗慧.基于最优FRWT的非平稳信号去噪新方法[J].佳木斯工学院学报,2011(2):177-180.
作者姓名:黄雨青  王友仁  罗慧
作者单位:南京航空航天大学自动化学院,江苏南京210016
基金项目:江苏省研究生科研创新计划项目(CX10B098Z)
摘    要:研究非平稳信号的去噪,提出一种基于最优分数阶小波变换(FRWT)的信号去噪方法.该方法根据输出信号信噪比采用遗传算法寻找FRWT的最优分数阶值,实现非平稳信号的去噪.以带噪语音信号为例的去噪实验结果表明,采用新方法的去噪效果明显提高.

关 键 词:时频分析  分数阶小波变换  小波变换  分数阶Fourier变换  信号去噪

A New Signal De-noising Method Based on Fractional Wavelet Packet Transform in Time-frequency Domain
Authors:HUANG Yu-qing  WANG You-ren  LUO Hui
Affiliation:(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:A novel signal de-noising method based on fractional wavelet transform(FRWT) was proposed.The optimal fractional order of FRWT was obtained by a genetic algorithm according to the SNR of output signals.And the signal was de-noised by an optimal FRWT.De-noising results of noisy speech signal showed that the de-noising effect can be improved effectively.
Keywords:time-frequency analysis  fractional wavelet transform  wavelet transform  fractional Fourier transform  signal de-noising
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